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JFrog Cloud Native Innovation – Availability, Security Performance and Efficiency at Scale

JFrog uses open source tools such as Kubernetes, Kubernetes Event-driven Autoscaling (KEDA), and Prometheus to develop its cloud development infrastructure and ensure tight integration with the three leading cloud providers AWS, GCP, and Azure. Let’s explore how JFrog cloud deployments leverage our cloud-native architecture to provide enhanced security and management capabilities for DevOps while ensuring …

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CVE-2024-6197 Curl and Libcurl: Use-after-Free on the Stack

On July 24th 2024, Curl maintainers announced a new stack buffer Use After Free (UAF) vulnerability – CVE-2024-6197. This type of vulnerability is very uncommon since UAF issues usually occur on the heap and not on the stack. While the vulnerability can be easily exploited for causing denial of service, in this blog we will …

Integrating Vector Databases with LLMs: A Hands-On Guide

Welcome to our hands-on guide where we dive into the world of Large Language Models (LLMs) and their synergy with Vector Databases. LLMs have been a game-changer in the tech world, driving innovation in application development. However, their full potential is often untapped when used in isolation. This is where Vector Databases step in, enhancing …

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JFrog Cloud: Architected for Performance at Scale

Petabytes of monthly data transfer. Thousands of concurrent requests per customer. Hundreds of thousands of requests per minute per customer. The JFrog Platform is a mission critical piece of software development and delivery infrastructure for companies that require performance at scale. When you’re supporting thousands of developers, even a minute of downtime or delay can …

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Gain Clarity on Cloud Usage with Enhanced Monitoring from MyJFrog

We can all agree that visibility into resource usage is crucial for optimizing performance and managing costs to drive your business — especially in today’s cloud-driven world. MyJFrog is a comprehensive management portal for overseeing JFrog cloud platform instances and subscriptions. It provides a centralized control tower to manage and monitor subscriptions, resources, and usage. …

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Feature Store Benefits: The Advantages of Feature Stores in Machine Learning Development

Feature stores are rapidly growing in popularity as organizations look to improve their machine learning productivity and operations (MLOps). With the advancements in MLOps, feature stores are becoming an essential component of the machine learning infrastructure, helping organizations to improve the performance and ability to explain their models, and accelerate the integration of new models …

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CVE-2024-10524 Wget Zero Day Vulnerability

While researching CVE-2024-38428 in GNU’s Wget, our team found a new 0-day vulnerability. The vulnerability, later assigned CVE-2024-10524, may lead to various types of attacks – including phishing, SSRF, and MiTM. These attacks can have severe consequences such as resource restriction bypass and sensitive information exposure. Upon discovering this vulnerability, our team responsibly disclosed it …

Breaking Silos: Unifying DevOps and MLOps into a Cohesive Software Supply Chain – Part 1

As businesses realized the potential of artificial intelligence (AI), the race began to incorporate machine learning operations (MLOps) into their commercial strategies. But the integration of machine learning (ML) into the real world proved challenging, and the vast gap between development and deployment was made clear. In fact, research from Gartner tells us 85% of …